Analytics Team

·       Statistical analysis and hypothesis testing.

·       Develop understanding of data from different sources

·       Explore datasets and recommend actionable based on insights

·       Automate set of codes for recurring activities/reporting

·       Develop and implement the desired statistical/non-statistical methodologies in alignment with CRIF approach and standards.

·       Document the outcome of statistical/non-statistical outcome.

·       Present the analysis to clients/internal stakeholders.

·       Producing reports and charts communicating trends within data to non-specialists

 

·       Passionate about data and strong analytical and problem-solving skills.

·       Good knowledge of statistical methodologies like Linear/Logistic regression, segmentation methodologies (CHAID, CART), Random Forest etc.

·       Good interpersonal skills and team player

·       Outstanding attention to detail.

·       Proven ability to meet established deadlines

·       Good at programming in one of the languages out of SAS, R, Python, PySpark

·       Quick learner and good at multitasking.

·       Written and verbal communication skills.

·       Proficient in MS Word, Excel, Access, and Power Point.

·       Education: Bachelor/Masters in Statistics/Maths/Economics/Operation Research, Engineering from leading institutions, or equivalent to these degrees.

·       2-5 years’ experience in analytics modelling techniques (regression, machine learning.), Knowledge of credit risk and BFSI domain is a plus

·       Statistical analysis and hypothesis testing.

·       Develop understanding of data from different sources

·       Explore datasets and recommend actionable based on insights

·       Automate set of codes for recurring activities/reporting

·       Develop and implement the desired statistical/non-statistical methodologies in alignment with CRIF approach and standards.

·       Document the outcome of statistical/non-statistical outcome.

·       Present the analysis to clients/internal stakeholders.

·       Producing reports and charts communicating trends within data to non-specialists

 

·       Passionate about data and strong analytical and problem-solving skills.

·       Good knowledge of statistical methodologies like Linear/Logistic regression, segmentation methodologies (CHAID, CART), Random Forest etc.

·       Good interpersonal skills and team player

·       Outstanding attention to detail.

·       Proven ability to meet established deadlines

·       Good at programming in one of the languages out of SAS, R, Python, PySpark

·       Quick learner and good at multitasking.

·       Written and verbal communication skills.

·       Proficient in MS Word, Excel, Access, and Power Point.

·       Education: Bachelor/Masters in Statistics/Maths/Economics/Operation Research, Engineering from leading institutions, or equivalent to these degrees.

·       2-5 years’ experience in analytics modelling techniques (regression, machine learning.), Knowledge of credit risk and BFSI domain is a plus